import gradio as gr import os import pandas as pd import json from PIL import Image, ImageSequence import io from functools import reduce import numpy as np from datetime import datetime, timedelta import matplotlib.pyplot as plt from leaderboard_utils import ( get_organization, get_mario_leaderboard, get_sokoban_leaderboard, get_2048_leaderboard, get_candy_leaderboard, get_tetris_leaderboard, get_tetris_planning_leaderboard, get_ace_attorney_leaderboard, get_combined_leaderboard, GAME_ORDER ) from data_visualization import ( get_combined_leaderboard_with_group_bar, create_organization_radar_chart, create_top_players_radar_chart, create_player_radar_chart, create_horizontal_bar_chart, normalize_values, get_combined_leaderboard_with_single_radar ) from gallery_tab import create_video_gallery HAS_ENHANCED_LEADERBOARD = True # Define time points and their corresponding data files TIME_POINTS = { "03/25/2025": "rank_data_03_25_2025.json", # Add more time points here as they become available } # Load the initial JSON file with rank data with open(TIME_POINTS["03/25/2025"], "r") as f: rank_data = json.load(f) # Add leaderboard state at the top level leaderboard_state = { "current_game": None, "previous_overall": { "Super Mario Bros": True, "Sokoban": True, "2048": True, "Candy Crush": True, "Tetris (complete)": True, "Tetris (planning only)": True, "Ace Attorney": True }, "previous_details": { "Super Mario Bros": False, "Sokoban": False, "2048": False, "Candy Crush": False, "Tetris (complete)": False, "Tetris (planning only)": False, "Ace Attorney": False } } # Load video links and news data with open('assets/game_video_link.json', 'r') as f: VIDEO_LINKS = json.load(f) with open('assets/news.json', 'r') as f: NEWS_DATA = json.load(f) def load_rank_data(time_point): """Load rank data for a specific time point""" if time_point in TIME_POINTS: try: with open(TIME_POINTS[time_point], "r") as f: return json.load(f) except FileNotFoundError: return None return None # Add a note about score values def add_score_note(): return gr.Markdown("*Note: 'n/a' in the table indicates no data point for that model.*", elem_classes="score-note") # Function to prepare DataFrame for display def prepare_dataframe_for_display(df, for_game=None): """Format DataFrame for better display in the UI""" # Clone the DataFrame to avoid modifying the original display_df = df.copy() # Filter out normalized score columns norm_columns = [col for col in display_df.columns if col.startswith('norm_')] if norm_columns: display_df = display_df.drop(columns=norm_columns) # Replace '_' with '-' for better display for col in display_df.columns: if col.endswith(' Score'): display_df[col] = display_df[col].apply(lambda x: '-' if x == '_' else x) # If we're in detailed view, add a formatted rank column if for_game: # Sort by relevant score column score_col = f"{for_game} Score" if score_col in display_df.columns: # Convert to numeric for sorting, treating '-' as NaN display_df[score_col] = pd.to_numeric(display_df[score_col], errors='coerce') # Sort by score in descending order display_df = display_df.sort_values(by=score_col, ascending=False) # Add rank column based on the sort display_df.insert(0, 'Rank', range(1, len(display_df) + 1)) # Filter out models that didn't participate display_df = display_df[~display_df[score_col].isna()] # Add line breaks to column headers new_columns = {} for col in display_df.columns: if col.endswith(' Score'): # Replace 'Game Name Score' with 'Game Name\nScore' game_name = col.replace(' Score', '') new_col = f"{game_name}\nScore" new_columns[col] = new_col # Keep Organization without line breaks # elif col == 'Organization': # new_columns[col] = 'Organi-\nzation' # Rename columns with new line breaks if new_columns: display_df = display_df.rename(columns=new_columns) return display_df # Helper function to ensure leaderboard updates maintain consistent height def update_df_with_height(df): """Update DataFrame with consistent height parameter.""" # Create column widths array col_widths = ["40px"] # Row number column width col_widths.append("230px") # Player column - reduced by 20px col_widths.append("120px") # Organization column # Add game score columns for _ in range(len(df.columns) - 2): col_widths.append("120px") return gr.update(value=df, show_row_numbers=True, show_fullscreen_button=True, line_breaks=True, show_search="search", # max_height=None, # Remove height limitation - COMMENTED OUT column_widths=col_widths) def update_leaderboard(mario_overall, mario_details, sokoban_overall, sokoban_details, _2048_overall, _2048_details, candy_overall, candy_details, tetris_overall, tetris_details, tetris_plan_overall, tetris_plan_details, ace_attorney_overall, ace_attorney_details): global leaderboard_state # Convert current checkbox states to dictionary for easier comparison current_overall = { "Super Mario Bros": mario_overall, "Sokoban": sokoban_overall, "2048": _2048_overall, "Candy Crush": candy_overall, "Tetris (complete)": tetris_overall, "Tetris (planning only)": tetris_plan_overall, "Ace Attorney": ace_attorney_overall } current_details = { "Super Mario Bros": mario_details, "Sokoban": sokoban_details, "2048": _2048_details, "Candy Crush": candy_details, "Tetris (complete)": tetris_details, "Tetris (planning only)": tetris_plan_details, "Ace Attorney": ace_attorney_details } # Find which game's state changed changed_game = None for game in current_overall.keys(): if (current_overall[game] != leaderboard_state["previous_overall"][game] or current_details[game] != leaderboard_state["previous_details"][game]): changed_game = game break if changed_game: # If a game's details checkbox was checked if current_details[changed_game] and not leaderboard_state["previous_details"][changed_game]: # Reset all other games' states for game in current_overall.keys(): if game != changed_game: current_overall[game] = False current_details[game] = False leaderboard_state["previous_overall"][game] = False leaderboard_state["previous_details"][game] = False # Update state for the selected game leaderboard_state["current_game"] = changed_game leaderboard_state["previous_overall"][changed_game] = True leaderboard_state["previous_details"][changed_game] = True current_overall[changed_game] = True # If a game's overall checkbox was checked elif current_overall[changed_game] and not leaderboard_state["previous_overall"][changed_game]: # If we were in details view for another game, switch to overall view if leaderboard_state["current_game"] and leaderboard_state["previous_details"][leaderboard_state["current_game"]]: # Reset previous game's details leaderboard_state["previous_details"][leaderboard_state["current_game"]] = False current_details[leaderboard_state["current_game"]] = False leaderboard_state["current_game"] = None # Update state leaderboard_state["previous_overall"][changed_game] = True leaderboard_state["previous_details"][changed_game] = False # If a game's overall checkbox was unchecked elif not current_overall[changed_game] and leaderboard_state["previous_overall"][changed_game]: # If we're in details view, don't allow unchecking the overall checkbox if leaderboard_state["current_game"] == changed_game: current_overall[changed_game] = True else: leaderboard_state["previous_overall"][changed_game] = False if leaderboard_state["current_game"] == changed_game: leaderboard_state["current_game"] = None # If a game's details checkbox was unchecked elif not current_details[changed_game] and leaderboard_state["previous_details"][changed_game]: leaderboard_state["previous_details"][changed_game] = False if leaderboard_state["current_game"] == changed_game: leaderboard_state["current_game"] = None # When exiting details view, only reset the current game's state current_overall[changed_game] = True current_details[changed_game] = False leaderboard_state["previous_overall"][changed_game] = True leaderboard_state["previous_details"][changed_game] = False # Special case: If all games are selected and we're trying to view details all_games_selected = all(current_overall.values()) and not any(current_details.values()) if all_games_selected and changed_game and current_details[changed_game]: # Reset all other games' states for game in current_overall.keys(): if game != changed_game: current_overall[game] = False current_details[game] = False leaderboard_state["previous_overall"][game] = False leaderboard_state["previous_details"][game] = False # Update state for the selected game leaderboard_state["current_game"] = changed_game leaderboard_state["previous_overall"][changed_game] = True leaderboard_state["previous_details"][changed_game] = True current_overall[changed_game] = True # Build dictionary for selected games selected_games = { "Super Mario Bros": current_overall["Super Mario Bros"], "Sokoban": current_overall["Sokoban"], "2048": current_overall["2048"], "Candy Crush": current_overall["Candy Crush"], "Tetris (complete)": current_overall["Tetris (complete)"], "Tetris (planning only)": current_overall["Tetris (planning only)"], "Ace Attorney": current_overall["Ace Attorney"] } # Get the appropriate DataFrame and charts based on current state if leaderboard_state["current_game"]: # For detailed view if leaderboard_state["current_game"] == "Super Mario Bros": df = get_mario_leaderboard(rank_data) elif leaderboard_state["current_game"] == "Sokoban": df = get_sokoban_leaderboard(rank_data) elif leaderboard_state["current_game"] == "2048": df = get_2048_leaderboard(rank_data) elif leaderboard_state["current_game"] == "Candy Crush": df = get_candy_leaderboard(rank_data) elif leaderboard_state["current_game"] == "Tetris (complete)": df = get_tetris_leaderboard(rank_data) elif leaderboard_state["current_game"] == "Tetris (planning only)": df = get_tetris_planning_leaderboard(rank_data) elif leaderboard_state["current_game"] == "Ace Attorney": df = get_ace_attorney_leaderboard(rank_data) # Format the DataFrame for display display_df = prepare_dataframe_for_display(df, leaderboard_state["current_game"]) # Always create a new chart for detailed view chart = create_horizontal_bar_chart(df, leaderboard_state["current_game"]) # Use the same chart for all visualizations in detailed view radar_chart = chart group_bar_chart = chart else: # For overall view df, _ = get_combined_leaderboard_with_group_bar(rank_data, selected_games) # Format the DataFrame for display display_df = prepare_dataframe_for_display(df) # Use the same selected_games for radar chart _, radar_chart = get_combined_leaderboard_with_single_radar(rank_data, selected_games) chart = radar_chart group_bar_chart = radar_chart # Use radar chart instead of bar chart # Return exactly 18 values to match the expected outputs return (update_df_with_height(display_df), chart, radar_chart, radar_chart, current_overall["Super Mario Bros"], current_details["Super Mario Bros"], current_overall["Sokoban"], current_details["Sokoban"], current_overall["2048"], current_details["2048"], current_overall["Candy Crush"], current_details["Candy Crush"], current_overall["Tetris (complete)"], current_details["Tetris (complete)"], current_overall["Tetris (planning only)"], current_details["Tetris (planning only)"], current_overall["Ace Attorney"], current_details["Ace Attorney"]) def update_leaderboard_with_time(time_point, mario_overall, mario_details, sokoban_overall, sokoban_details, _2048_overall, _2048_details, candy_overall, candy_details, tetris_overall, tetris_details, tetris_plan_overall, tetris_plan_details, ace_attorney_overall, ace_attorney_details): # Load rank data for the selected time point global rank_data new_rank_data = load_rank_data(time_point) if new_rank_data is not None: rank_data = new_rank_data # Use the existing update_leaderboard function return update_leaderboard(mario_overall, mario_details, sokoban_overall, sokoban_details, _2048_overall, _2048_details, candy_overall, candy_details, tetris_overall, tetris_details, tetris_plan_overall, tetris_plan_details, ace_attorney_overall, ace_attorney_details) def get_initial_state(): """Get the initial state for the leaderboard""" return { "current_game": None, "previous_overall": { "Super Mario Bros": True, "Sokoban": True, "2048": True, "Candy Crush": True, "Tetris (complete)": True, "Tetris (planning only)": True, "Ace Attorney": True }, "previous_details": { "Super Mario Bros": False, "Sokoban": False, "2048": False, "Candy Crush": False, "Tetris (complete)": False, "Tetris (planning only)": False, "Ace Attorney": False } } def clear_filters(): global leaderboard_state # Reset all checkboxes to default state selected_games = { "Super Mario Bros": True, "Sokoban": True, "2048": True, "Candy Crush": True, "Tetris (complete)": True, "Tetris (planning only)": True, "Ace Attorney": True } # Get the combined leaderboard and group bar chart df, group_bar_chart = get_combined_leaderboard_with_group_bar(rank_data, selected_games) # Format the DataFrame for display display_df = prepare_dataframe_for_display(df) # Get the radar chart using the same selected games _, radar_chart = get_combined_leaderboard_with_single_radar(rank_data, selected_games) # Reset the leaderboard state to match the default checkbox states leaderboard_state = get_initial_state() # Return exactly 16 values to match the expected outputs return (update_df_with_height(display_df), radar_chart, radar_chart, radar_chart, True, False, # mario True, False, # sokoban True, False, # 2048 True, False, # candy True, False, # tetris True, False, # tetris plan True, False) # ace attorney def create_timeline_slider(): """Create a custom timeline slider component""" timeline_html = """